Initially, cancer prediction models were based on statistical methods that utilized demographic and clinical data. However, the advent of [machine learning]() and [artificial intelligence]() has revolutionized this field. These advanced models can analyze vast datasets, including genomic, proteomic, and imaging data, to identify intricate patterns and risk factors.
